similar to: controller number mismatch

Hi, Am I hitting some limit in match? Consider the following example: > tst<-seq(100,125,by=.2)%in%seq(0,800,by=.1) > sum(tst) [1] 76 > seq(100,125,by=.2) [1] 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 [13] 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 [25] 104.8 105.0 105.2 105.4 105.6 105.8 106.0 106.2 106.4 106.6 106.8

Hi, Am I hitting some limit in match? Consider the following example: > tst<-seq(100,125,by=.2)%in%seq(0,800,by=.1) > sum(tst) [1] 76 > seq(100,125,by=.2) [1] 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 [13] 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 [25] 104.8 105.0 105.2 105.4 105.6 105.8 106.0 106.2 106.4 106.6 106.8

Log report is reporting a lot of these lately.. following is just a short snippet from the beginning on one server. WARNING!!!! Possible Attack: Attempt from 104.29.broadband2.iol.cz [83.208.29.104] with: command=HELO/EHLO, count=3 : 1 Time(s) Attempt from 106.7.broadband7.iol.cz [88.102.7.106] with: command=HELO/EHLO, count=3 : 1 Time(s) Attempt from

I am using R for a graduate class on linear models that I teach. I sent the class a sample transcript of explicit construction of the model matrix and use of the QR decomposition. One of the members of the class picked up on the fact that the model matrix was not what I advertised that it should be when a two-sided formula is used. A one-sided formula works properly. For example, >

Hello any R user, Working on R 1.8.1 or R 1.9 on Windows, 256 Mb RAM. I am trying to debug/correct/speedup the execution of one of our student's program. Basically, we perform simulations. R is launched with high memory-limits. One execution of the program requires nearly 200 Mbs and is OK the first time. Then, launching it again does strange things: seen from Windows manager, the RAM

hi Michael, am sorry for the incomplete reply . csv file data havinmg like this , >getSymbols("IBM") >weekly_data = to.weekly(week_name) >dataframe=data.frame(weekly_data) >outputfile_name="F:\\R-programs\\Outputfile.csv" >write.table(dataframe, file =outputfile_name,sep = ",",col.names =TRUE,row.names = T) > datafrom_table <-

Hello, Is there any possibility in R to see the body of the non-visible function, for example princomp? If I do : > methods(princomp) so, I get that princomp.default and princomp.formula are non-visible functions and body(princomp.default) doesnt show it. In particular, I guess I have a very nave question Id like to see how scores calculation is implemented in the function princomp.

Hello, dear R-community. This is a question about TukeyHSD between factor combinations of a Three-Way ANOVA, which is - since it is a multi measure ANOVA - not a simple ANOVA but a Generalised Linear Mixed Model (GLMM), calculated with "lmer". > growth <- groupedData(length~meas|box_id,outer=~spec*comp*water,data=all.spec) > model <-

Hi, I have a question about estimating IRT models by using nlme, not just rasch model, but also other models. Behavior Research Methods <http://www.springerlink.com/content/1554-351x/> Volume 37, Number 2 <http://www.springerlink.com/content/1554-351x/37/2/>, 202-218, DOI: 10.3758/BF03192688 Using SAS PROC NLMIXED to fit item response theory models (2005). Ching-Fan

Hi, I'd like to unsubscribe from the list. Thanks Neyra ________________________________ De: "r-help-request@r-project.org" <r-help-request@r-project.org> Para: r-help@r-project.org Enviado: sáb, octubre 30, 2010 5:30:07 AM Asunto: R-help Digest, Vol 92, Issue 31 Send R-help mailing list submissions to r-help@r-project.org To subscribe or unsubscribe via the